Design and Implementation of a Ship Target Detection System Based on PyQt

Abstract

With the advancement of intelligent shipping and smart port construction, ship target detection plays a crucial role in maritime traffic safety, port monitoring, and environmental protection. Aiming at the shortcomings of traditional monitoring systems in real-time performance and visualization, this paper designs and implements a ship target detection system based on the PyQt framework. The system utilizes a deep learning model to detect ship targets in videos and employs PyQt to construct a visual interactive interface, enabling real-time display and management of detection results. The system implements core functions such as data management, detection processing, and result presentation, and exhibits good real-time performance and stability. It provides a technical foundation for subsequent multi-source data fusion and the expansion of intelligent monitoring systems.